Bayesian estimation of rare sensitive attribute

Randomized response models have been used to estimate a population proportion of a sensitive attribute. A randomized device is typically employed to protect respondent's privacy in a survey. In addition, an unrelated question is asked to improve the statistical efficiency. In this article, we propose Bayesian estimation of rare sensitive attribute using randomized response technique, which includes a rare unrelated attribute. Two cases are considered, the proportion of a rare unrelated attribute is known and unknown. A simulation study is conducted to assess the performance of the models using mean absolute error and coverage probability. The results show that the performance depends on the parameters and is robust to priors.     

Structured Voluntary Youth Activities and Positive Outcomes in Adulthood: An Exploratory Study of Involvement in Scouting and Subjective Well-Being

This study explores whether youth involvement in Scouting has positive consequences later in life. We examine whether the number of years of participation in Scouting is positively associated with human and social capital and recreational lifestyles in adulthood, and whether these are linked to subjective well-being: relational, emotional, and physical health. To explore this potential relationship, we estimated a structural equation model, analyzing data from a national sample of adult males. We found that youth involvement in Scouting is positively related to subjective well-being indirectly via the positive adult outcomes.     

Black and Farquharson on order-of-voting effects: an extension

This paper, by using the known algorithms for calculating the oucomes under the amendment procedure and under the successive procedure, extends the statements of Black and Farquharson about order-of-voting effects: if alternativex, in thej-th position in an agenda, is the sincere (sophisticated) voting outcome with that agenda, then x is also the sincere (sophisticated) voting outcome with any agenda that is the same as the initial agenda with respect to the alternatives in positions from the first to the (j – 1)-th (from the (j + 1)-th to the last, respectively).I am grateful to David Austen-Smith and two anonymous referees for helpful suggestions and comments. The responsibility for any remaining errors is entirely mine.     

Constrained Bayes and empirical Bayes estimation under random effects normal ANOVA model with balanced loss function

The paper develops constrained Bayes and empirical Bayes estimators in the random effects ANOVA model under balanced loss functions. In the balanced normal–normal model, estimators of the Bayes risks of the constrained Bayes and constrained empirical Bayes estimators are provided which are correct asymptotically up to O(m^-1)$\mathrm{O}(m^{-1})$, that is the remainder term is o(m^-1)$\mathrm{o}(m^{-1})$, m$m$ denoting the number of strata.     

Should Industrial Policy in Developing Countries Conform to Comparative Advantage or Defy it? A Debate Between Justin Lin and Ha‐Joon Chang

This is the first in an occasional series of DPR Debates, designed to illuminate specific issues of international development policy. Each debate will bring together two well‐known researchers or practitioners, giving them the opportunity, over three rounds, to test and challenge each other's ideas. The debates are intended to be robust but accessible, rooted in rigorous research but useful to the wide readership of Development Policy Review.     

Race,Ethnicity, and Deviance: A Study of Asian and Non-Asian Adolescents in America

This study shows that Asian American adolescents commit less deviance in the form of school misbehavior than white, black, Hispanic, or Native American adolescents. Social control and social learning theories receive support as the observed differences are explained primarily by race/ethnic differences in family backgrounds and school bonding. These variables' explanatory ability tends to be invariant across four regional groups of Asian Americans. This study applies OLS regression to self-reported data from a nationally representative sample.     

What drives successful social networking services? A comparative analysis of user acceptance of Facebook and Twitter

This study identifies perceived mobility, security, connectedness, system and service quality, usefulness, attitude, and flow experience as key motivational factors for using social networking services (SNSs), and develops a theoretical model that explicates the process in which users adopt Facebook and Twitter by integrating these factors with the technology acceptance model (TAM). While results of structural equation modeling (SEM) on the collected data (N = 2,214) verified the validity and reliability of the research model, Facebook and Twitter users were found to emphasize different motivational factors when deciding to use SNSs. The implications of notable findings and directions for future studies are discussed.